Suppose a following situation:
[c1, c2, c3] >> child_task
where all c1, c2, c3 and child_task are operators and have task_id equal to id1, id2, id3 and child_id respectively.
Task child_task is also a PythonOperator with provide_context=True and python_callable=dummy_func
def dummy_func(**context):
#...
Is it possible to retrieve all parents' ids inside the dummy_func(perhaps by browsing the dag somehow using the context)?
Expected result in this case would be a list ['id1', 'id2', 'id3'].
The upstream_task_ids and downstream_task_ids properties of BaseOperator are meant just for this purpose.
from typing import List
..
parent_task_ids: List[str] = my_task.upstream_task_ids
child_task_ids: List[str] = my_task.downstream_task_ids
Do note however that with this property, you only get immediate (upstream / downstream) neighbour(s) of a task. In order to get all ancestor or descendent tasks, you can quickly cook-up the good old graph theory approach such as this BFS-like implementation
from typing import List, Set
from queue import Queue
from airflow.models import BaseOperator
def get_ancestor_tasks(my_task: BaseOperator) -> List[BaseOperator]:
ancestor_task_ids: Set[str] = set()
tasks_queue: Queue = Queue()
# determine parent tasks to begin BFS
for task in my_task.upstream_list:
tasks_queue.put(item=task)
# perform BFS
while not tasks_queue.empty():
task: BaseOperator = tasks_queue.get()
ancestor_task_ids.add(element=task.task_id)
for _task in task.upstream_list:
tasks_queue.put(item=_task)
# Convert task_ids to actual tasks
ancestor_tasks: List[BaseOperator] = [task for task in my_task.dag.tasks if task.task_id in ancestor_task_ids]
return ancestor_tasks
Above snippet is NOT tested, but I'm sure you can take inspiration from it
References